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Adds more paper #436

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46 changes: 26 additions & 20 deletions CONFERENCE_PAPERS/CVPR/CVPR2021.md
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|S. No.|Title|Authors|Code|
|---|-------|-----------|---|
|1|[Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction](https://openaccess.thecvf.com/content/CVPR2021/papers/Wu_Greedy_Hierarchical_Variational_Autoencoders_for_Large-Scale_Video_Prediction_CVPR_2021_paper.pdf)|Bohan Wu, Suraj Nair, Roberto Martin-Martin, Li Fei-Fei, and Chelsea Finn</a>|-|
|2|[Over-the-Air Adversarial Flickering Attacks Against Video Recognition Networks](https://arxiv.org/pdf/2002.05123)|Roi Pony, Itay Naeh, and Shie Mannor</a>|[Link](https://github.com/anonymous-p/Flickering_Adversarial_Video)|
|3|[Person30K: A Dual-Meta Generalization Network for Person Re-Identification](https://openaccess.thecvf.com/content/CVPR2021/papers/Bai_Person30K_A_Dual-Meta_Generalization_Network_for_Person_Re-Identification_CVPR_2021_paper.pdf)|Yan Bai, Jile Jiao, Wang Ce, Jun Liu, Yihang Lou, Xuetao Feng, and Ling-Yu Duan</a>|-|
|4|[Privacy Preserving Localization and Mapping From Uncalibrated Cameras](https://openaccess.thecvf.com/content/CVPR2021/papers/Geppert_Privacy_Preserving_Localization_and_Mapping_From_Uncalibrated_Cameras_CVPR_2021_paper.pdf)|Marcel Geppert, Viktor Larsson, Pablo Speciale, Johannes L. Schonberger, and Marc Pollefeys</a>|-|
|5|[Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network](https://arxiv.org/pdf/2104.09556)|Ruicheng Feng, Chongyi Li, Huaijin Chen, Shuai Li, Chen Change Loy, and Jinwei Gu</a>|[Link](https://github.com/jnjaby/DISCNet)|
|6|[iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression](https://arxiv.org/pdf/2103.16211)|Shifeng Zhang,Chen Zhang,Ning Kang,and Zhenguo Li</a>|-|
|7|[Pose Recognition With Cascade Transformers](https://arxiv.org/pdf/2104.06976)|Ke Li,Shijie Wang,Xiang Zhang,Yifan Xu,Weijian Xu,and Zhuowen Tu</a>|[Link](https://github.com/mlpc-ucsd/PRTR)|
|8|[Body Meshes as Points](http://arxiv.org/pdf/2105.02467)|Jianfeng Zhang,Dongdong Yu,Jun Hao Liew,Xuecheng Nie, and Jiashi Feng</a>|[Link](https://github.com/jfzhang95/BMP)|
|9|[Style-Aware Normalized Loss for Improving Arbitrary Style Transfer](http://arxiv.org/pdf/2104.10064)|Jiaxin Cheng,Ayush Jaiswal,Yue Wu,Pradeep Natarajan, and Prem Natarajan</a>|-|
|10|[Enhancing the Transferability of Adversarial Attacks Through Variance Tuning](http://arxiv.org/pdf/2103.15571)|Xiaosen Wang and Kun He</a>|[Link](https://github.com/JHL-HUST/VT)|
|11|[BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification](https://openaccess.thecvf.com/content/CVPR2021/papers/Hou_BiCnet-TKS_Learning_Efficient_Spatial-Temporal_Representation_for_Video_Person_Re-Identification_CVPR_2021_paper.pdf)|Ruibing Hou,Hong Chang,Bingpeng Ma,Rui Huang, and Shiguang Shan</a>|-|
|12|[SceneGen: Learning To Generate Realistic Traffic Scenes](http://arxiv.org/pdf/2101.06541)|Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, and Raquel Urtasun</a>|-|
|13|[Zero-Shot Instance Segmentation](https://arxiv.org/pdf/2104.06601)|Ye Zheng, Jiahong Wu, Yongqiang Qin, Faen Zhang, and Li Cui</a>|[Link](https://github.com/zhengye1995/Zero-shot-Instance-Segmentation)|
|14|[Global Transport for Fluid Reconstruction With Learned Self-Supervision](https://arxiv.org/pdf/2104.06031)|Erik Franz, Barbara Solenthaler, and Nils Thuerey</a>|[Link](https://github.com/tum-pbs/Global-Flow-Transport)|
|15|[Pulsar: Efficient Sphere-Based Neural Rendering](https://arxiv.org/pdf/2004.07484)|Christoph Lassner, and Michael Zollhofer</a>|[Link](https://github.com/facebookresearch/pytorch3d)|
|16|[Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification](https://arxiv.org/pdf/2103.14267)|Peng Wang, Kai Han, Xiu-Shen Wei, Lei Zhang, and Lei Wang</a>|-|
|17|[Single-View Robot Pose and Joint Angle Estimation via Render &amp; Compare](https://arxiv.org/pdf/2104.09359)|Yann Labbe, Justin Carpentier, Mathieu Aubry, and Josef Sivic</a>|-|
|18|[Learning the Non-Differentiable Optimization for Blind Super-Resolution](https://openaccess.thecvf.com/content/CVPR2021/papers/Hui_Learning_the_Non-Differentiable_Optimization_for_Blind_Super-Resolution_CVPR_2021_paper.pdf)|Zheng Hui, Jie Li, Xiumei Wang, and Xinbo Gao</a>|-|
|19|[From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation](https://arxiv.org/pdf/2103.14843)|Chen Li, and Gim Hee Lee</a>|[Link](https://github.com/chaneyddtt/UDA-Animal-Pose)|
|20|[Mask Guided Matting via Progressive Refinement Network](https://arxiv.org/pdf/2012.06722)|Qihang Yu, Jianming Zhang, He Zhang, Yilin Wang, Zhe Lin, Ning Xu, Yutong Bai, and Alan Yuille</a>|[Link](https://github.com/yucornetto/MGMatting)|
|1|[Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction](https://openaccess.thecvf.com/content/CVPR2021/papers/Wu_Greedy_Hierarchical_Variational_Autoencoders_for_Large-Scale_Video_Prediction_CVPR_2021_paper.pdf)|Bohan Wu, Suraj Nair, Roberto Martin-Martin, Li Fei-Fei, and Chelsea Finn|-|
|2|[Over-the-Air Adversarial Flickering Attacks Against Video Recognition Networks](https://arxiv.org/pdf/2002.05123)|Roi Pony, Itay Naeh, and Shie Mannor|[Link](https://github.com/anonymous-p/Flickering_Adversarial_Video)|
|3|[Person30K: A Dual-Meta Generalization Network for Person Re-Identification](https://openaccess.thecvf.com/content/CVPR2021/papers/Bai_Person30K_A_Dual-Meta_Generalization_Network_for_Person_Re-Identification_CVPR_2021_paper.pdf)|Yan Bai, Jile Jiao, Wang Ce, Jun Liu, Yihang Lou, Xuetao Feng, and Ling-Yu Duan|-|
|4|[Privacy Preserving Localization and Mapping From Uncalibrated Cameras](https://openaccess.thecvf.com/content/CVPR2021/papers/Geppert_Privacy_Preserving_Localization_and_Mapping_From_Uncalibrated_Cameras_CVPR_2021_paper.pdf)|Marcel Geppert, Viktor Larsson, Pablo Speciale, Johannes L. Schonberger, and Marc Pollefeys|[Reference](https://github.com/colmap/privacy_preserving_sfm)|
|5|[Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network](https://arxiv.org/pdf/2104.09556)|Ruicheng Feng, Chongyi Li, Huaijin Chen, Shuai Li, Chen Change Loy, and Jinwei Gu|[Link](https://github.com/jnjaby/DISCNet)|
|6|[iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression](https://arxiv.org/pdf/2103.16211)|Shifeng Zhang,Chen Zhang,Ning Kang,and Zhenguo Li|[Link](https://github.com/Mind23-2/MindCode-101/tree/main/ivpf)|
|7|[Pose Recognition With Cascade Transformers](https://arxiv.org/pdf/2104.06976)|Ke Li,Shijie Wang,Xiang Zhang,Yifan Xu,Weijian Xu,and Zhuowen Tu|[Link](https://github.com/mlpc-ucsd/PRTR)|
|8|[Body Meshes as Points](http://arxiv.org/pdf/2105.02467)|Jianfeng Zhang,Dongdong Yu,Jun Hao Liew,Xuecheng Nie, and Jiashi Feng|[Link](https://github.com/jfzhang95/BMP)|
|9|[Style-Aware Normalized Loss for Improving Arbitrary Style Transfer](http://arxiv.org/pdf/2104.10064)|Jiaxin Cheng,Ayush Jaiswal,Yue Wu,Pradeep Natarajan, and Prem Natarajan|[Link](https://github.com/Neroxn/Style-Aware-Normalized/tree/main/Project_Kargi)|
|10|[Enhancing the Transferability of Adversarial Attacks Through Variance Tuning](http://arxiv.org/pdf/2103.15571)|Xiaosen Wang and Kun He|[Link](https://github.com/JHL-HUST/VT)|
|11|[BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification](https://openaccess.thecvf.com/content/CVPR2021/papers/Hou_BiCnet-TKS_Learning_Efficient_Spatial-Temporal_Representation_for_Video_Person_Re-Identification_CVPR_2021_paper.pdf)|Ruibing Hou,Hong Chang,Bingpeng Ma,Rui Huang, and Shiguang Shan|[Link](https://github.com/blue-blue272/BiCnet-TKS)|
|12|[SceneGen: Learning To Generate Realistic Traffic Scenes](http://arxiv.org/pdf/2101.06541)|Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, and Raquel Urtasun|-|
|13|[Zero-Shot Instance Segmentation](https://arxiv.org/pdf/2104.06601)|Ye Zheng, Jiahong Wu, Yongqiang Qin, Faen Zhang, and Li Cui|[Link](https://github.com/zhengye1995/Zero-shot-Instance-Segmentation)|
|14|[Global Transport for Fluid Reconstruction With Learned Self-Supervision](https://arxiv.org/pdf/2104.06031)|Erik Franz, Barbara Solenthaler, and Nils Thuerey|[Link](https://github.com/tum-pbs/Global-Flow-Transport)|
|15|[Pulsar: Efficient Sphere-Based Neural Rendering](https://arxiv.org/pdf/2004.07484)|Christoph Lassner, and Michael Zollhofer|[Link](https://github.com/facebookresearch/pytorch3d)|
|16|[Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification](https://arxiv.org/pdf/2103.14267)|Peng Wang, Kai Han, Xiu-Shen Wei, Lei Zhang, and Lei Wang|-|
|17|[Single-View Robot Pose and Joint Angle Estimation via Render &amp; Compare](https://arxiv.org/pdf/2104.09359)|Yann Labbe, Justin Carpentier, Mathieu Aubry, and Josef Sivic|[Link](https://github.com/ylabbe/robopose)|
|18|[Learning the Non-Differentiable Optimization for Blind Super-Resolution](https://openaccess.thecvf.com/content/CVPR2021/papers/Hui_Learning_the_Non-Differentiable_Optimization_for_Blind_Super-Resolution_CVPR_2021_paper.pdf)|Zheng Hui, Jie Li, Xiumei Wang, and Xinbo Gao|-|
|19|[From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation](https://arxiv.org/pdf/2103.14843)|Chen Li, and Gim Hee Lee|[Link](https://github.com/chaneyddtt/UDA-Animal-Pose)|
|20|[Mask Guided Matting via Progressive Refinement Network](https://arxiv.org/pdf/2012.06722)|Qihang Yu, Jianming Zhang, He Zhang, Yilin Wang, Zhe Lin, Ning Xu, Yutong Bai, and Alan Yuille|[Link](https://github.com/yucornetto/MGMatting)|
|21|[Invertible Denoising Network: A Light Solution for Real Noise Removal](https://arxiv.org/pdf/2104.10546v1.pdf)|Yang Liu, Zhenyue Qin, Saeed Anwar, Pan Ji, Dongwoo Kim, Sabrina Caldwell, Tom Gedeon|[Link](https://github.com/Yang-Liu1082/InvDN)|
|22|[Encoder Fusion Network With Co-Attention Embedding for Referring Image Segmentation](https://arxiv.org/pdf/2105.01839.pdf)|Guang Feng, Zhiwei Hu, Lihe Zhang, Huchuan Lu|[Link](https://github.com/fengguang94/CEFNet)|
|23|[Image Inpainting With External-Internal Learning and Monochromic Bottleneck](https://arxiv.org/abs/2104.09068)|Tengfei Wang, Hao Ouyang, Qifeng Chen|[Link](https://github.com/Tengfei-Wang/external-internal-inpainting)|
|24|[Patch2Pix: Epipolar-Guided Pixel-Level Correspondences](https://arxiv.org/abs/2012.01909)|Qunjie Zhou, Torsten Sattler, Laura Leal-Taixe|[Link](https://github.com/GrumpyZhou/patch2pix)|
|25|[Counterfactual Zero-Shot and Open-Set Visual Recognition](https://arxiv.org/abs/2103.00887)|Zhongqi Yue, Tan Wang, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang|[Link](https://github.com/yue-zhongqi/gcm-cf)|
|26|[Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition](https://arxiv.org/abs/2103.01486)|Stephen Hausler, Sourav Garg, Ming Xu, Michael Milford, Tobias Fischer|[Link](https://github.com/QVPR/Patch-NetVLAD)|